Hasan, Mehedi Md. et al. published their research in Plant Molecular Biology in 2020 |CAS: 443-72-1

The Article related to methyladenine fuse dna genome rosa fragaria, dna 6 ma, feature encoding, machine learning, sequence analysis, Biochemical Methods: Apparatus and other aspects.Name: N-Methyl-7H-purin-6-amine

On May 31, 2020, Hasan, Mehedi Md.; Manavalan, Balachandran; Shoombuatong, Watshara; Khatun, Mst. Shamima; Kurata, Hiroyuki published an article.Name: N-Methyl-7H-purin-6-amine The title of the article was i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation. And the article contained the following:

DNA N6-methyladenine (6 mA) is one of the most vital epigenetic modifications and involved in controlling the various gene expression levels. With the avalanche of DNA sequences generated in numerous databases, the accurate identification of 6 mA plays an essential role for understanding mol. mechanisms. Because the exptl. approaches are time-consuming and costly, it is desirable to develop a computation model for rapidly and accurately identifying 6 mA. To the best of our knowledge, we first proposed a computational model named i6mA-Fuse to predict 6 mA sites from the Rosaceae genomes, especially in Rosa chinensis and Fragaria vesca. We implemented the five encoding schemes, i.e., mononucleotide binary, dinucleotide binary, k-space spectral nucleotide, k-mer, and electron-ion interaction pseudo potential compositions, to build the five, single-encoding random forest (RF) models. The i6mA-Fuse uses a linear regression model to combine the predicted probability scores of the five, single encoding-based RF models. The resultant species-specific i6mA-Fuse achieved remarkably high performances with AUCs of 0.982 and 0.978 and with MCCs of 0.869 and 0.858 on the independent datasets of Rosa chinensis and Fragaria vesca, resp. In the F. vesca-specific i6mA-Fuse, the MBE and EIIP contributed to 75% and 25% of the total prediction; in the R. chinensis-specific i6mA-Fuse, Kmer, MBE, and EIIP contribute to 15%, 65%, and 20% of the total prediction. To assist high-throughput prediction for DNA 6 mA identification, the i6mA-Fuse is publicly accessible at https://kurata14.bio.kyutech.ac.jp/i6mA-Fuse/. The experimental process involved the reaction of N-Methyl-7H-purin-6-amine(cas: 443-72-1).Name: N-Methyl-7H-purin-6-amine

The Article related to methyladenine fuse dna genome rosa fragaria, dna 6 ma, feature encoding, machine learning, sequence analysis, Biochemical Methods: Apparatus and other aspects.Name: N-Methyl-7H-purin-6-amine

Referemce:
Imidazole – Wikipedia,
Imidazole | C3H4N2 – PubChem